# Introduction:
Department

Here are preliminary results of the bibliometric mapping of the 2022 Luxembourg research evaluation. Its purpose is:

The method for the research-field-mapping can be reiviewed here:

Rakas, M., & Hain, D. S. (2019). The state of innovation system research: What happens beneath the surface?. Research Policy, 48(9), 103787.

Seed Articles

The seed articles deemed representative for the active areas of research in the institution, and include authors affiliated with the institution. They can be selected in three ways:

  1. Via bibliographic clustering of the institutions publications and selection of most central articles per cluster (only clsuters where n >= 0.05N). Selection can be found at:https://github.com/daniel-hain/biblio_lux_2022/blob/master/output/seed/scopus_lih_dii_seed.csv
  2. MAnual selection of relevant publications.
  3. A combination of 1. and 2.

The present analysis is based on the following seed articles:

AU PY TI JI
ELWENSPOEK MMC;HENGESCH X;L… 2020 GLUCOCORTICOID RECEPTOR SIGNALING IN LEUKOCYTES AFTER EARLY LIFE ADVERSITY DEV. PSYCHOPATHOL.
KURNIAWAN H;FRANCHINA DG;GU… 2020 GLUTATHIONE RESTRICTS SERINE METABOLISM TO PRESERVE REGULATORY T CELL FUNCTION CELL METAB.
BÜRCKERT J-P;FAISON WJ;MUST… 2018 HIGH-THROUGHPUT SEQUENCING OF MURINE IMMUNOGLOBULIN HEAVY CHAIN REPERTOIRES USING SINGLE SIDE UNI… ONCOTARGET
SZPAKOWSKA M;MEYRATH M;REYN… 2018 MUTATIONAL ANALYSIS OF THE EXTRACELLULAR DISULPHIDE BRIDGES OF THE ATYPICAL CHEMOKINE RECEPTOR AC… BIOCHEM. PHARMACOL.
BLANK S;BILÒ MB;OLLERT M 2018 COMPONENT-RESOLVED DIAGNOSTICS TO DIRECT IN VENOM IMMUNOTHERAPY: IMPORTANT STEPS TOWARDS PRECISIO… CLIN. EXP. ALLERGY
MUÑOZ-ALÍA MÁ;MULLER CP;RUS… 2017 ANTIGENIC DRIFT DEFINES A NEW D4 SUBGENOTYPE OF MEASLES VIRUS J. VIROL.
KUEHN A;DICKEL H 2016 FISH AND SEAFOOD ALLERGY [ALLERGIEN AUF MEERESTIERE] ALLERGOLOGIE
MORISSET M;ARUMUGAM K;OLLER… 2016 HORSE-MEAT ALLERGY MEDIATED BY DOG-ALLERGY: A CASE REPORT AND REVIEW OF THE LITERATURE ALLERGO J.

Topic modelling

Here, we report the results of a LDA topic-modelling (basically, clustering on words) on all title+abstract texts.

Topics by topwords

Note: While this static vies is helpful, I recommend using the interactive LDAVis version to be found under https://daniel-hain.github.io/biblio_lux_2022/output/topic_modelling/LDAviz_lih_dii.rds/index.html#topic=1&lambda=0.60&term=. For functionality and usage, see technical description in the next tab.

Topics over time

Technical Description

LDA Topic Modelling

Topic modeling is a type of statistical modeling for discovering the abstract “topics” that occur in a collection of documents. Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic.

LDA is a generative probabilistic model that assumes each topic is a mixture over an underlying set of words, and each document is a mixture of over a set of topic probabilities. It builds a topic per document model and words per topic model, modeled as Dirichlet distributions.

LDAVis

LDAvis is a web-based interactive visualisation of topics estimated using LDA. It provides a global view of the topics (and how they differ from each other), while at the same time allowing for a deep inspection of the terms most highly associated with each individual topic. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization. The visualisation has two basic pieces.

The left panel visualise the topics as circles in the two-dimensional plane whose centres are determined by computing the Jensen–Shannon divergence between topics, and then by using multidimensional scaling to project the inter-topic distances onto two dimensions. Each topic’s overall prevalence is encoded using the areas of the circles.

The right panel depicts a horizontal bar chart whose bars represent the individual terms that are the most useful for interpreting the currently selected topic on the left. A pair of overlaid bars represent both the corpus-wide frequency of a given term as well as the topic-specific frequency of the term.

The \(\lambda\) slider allows to rank the terms according to term relevance. By default, the terms of a topic are ranked in decreasing order according their topic-specific probability ( \(\lambda\) = 1 ). Moving the slider allows to adjust the rank of terms based on much discriminatory (or “relevant”) are for the specific topic. The suggested optimal value of \(\lambda\) is 0.6.

Knowledge Bases: Co-Citation network analysis

Note: This analysis refers the co-citation analysis, where the cited references and not the original publications are the unit of analysis. See tab Technical descriptionfor additional explanations

Knowledge Bases summary

In order to partition networks into components or clusters, we deploy a community detection technique based on the Lovain Algorithm (Blondel et al., 2008). The Lovain Algorithm is a heuristic method that attempts to optimize the modularity of communities within a network by maximizing within- and minimizing between-community connectivity. We identify the following communities = knowledge bases.

com name dgr_int dgr
Knowledge Base 1: KB 1 (n = 1882, density =2.07)
1 TYRKA A.R. PRICE L.H. MARSIT C. WALTERS O.C. CARPENTER L.L. CHILDHOOD ADVERSITY AND EPIGENETIC MODULATION OF THE LEUKOCYTE GLUCOCORTICOID RECEPTOR:… 2082 2082
1 OBERLANDER T.F. WEINBERG J. PAPSDORF M. GRUNAU R. MISRI S. DEVLIN A.M. PRENATAL EXPOSURE TO MATERNAL DEPRESSION NEONATAL METHYLATION OF HUMAN GLUCO… 1980 1980
1 TURECKI G. MEANEY M.J. EFFECTS OF THE SOCIAL ENVIRONMENT AND STRESS ON GLUCOCORTICOID RECEPTOR GENE METHYLATION: A SYSTEMATIC REVIEW (2016) 1787 1791
1 ROTH T.L. LUBIN F.D. FUNK A.J. SWEATT J.D. LASTING EPIGENETIC INFLUENCE OF EARLY-LIFE ADVERSITY ON THE BDNF GENE (2009) 1396 1396
1 ROMENS S.E. MCDONALD J. SVAREN J. POLLAK S.D. ASSOCIATIONS BETWEEN EARLY LIFE STRESS AND GENE METHYLATION IN CHILDREN (2015) 867 867
1 LUPIEN S.J. MCEWEN B.S. GUNNAR M.R. HEIM C. EFFECTS OF STRESS THROUGHOUT THE LIFESPAN ON THE BRAIN BEHAVIOUR AND COGNITION (2009) 836 836
1 BINDER E.B. THE ROLE OF FKBP5 A CO-CHAPERONE OF THE GLUCOCORTICOID RECEPTOR IN THE PATHOGENESIS AND THERAPY OF AFFECTIVE AND ANXIETY DISORDERS (2009) 661 661
1 WEAVER I.C. CERVONI N. CHAMPAGNE F.A. D’ALESSIO A.C. SHARMA S. SECKL J.R. DYMOV S. MEANEY M.J. EPIGENETIC PROGRAMMING BY MATERNAL BEHAVIOR (2004) 637 637
1 JONES P.A. FUNCTIONS OF DNA METHYLATION: ISLANDS START SITES GENE BODIES AND BEYOND (2012) 628 628
1 MCGOWAN P.O. SASAKI A. D’ALESSIO A.C. EPIGENETIC REGULATION OF THE GLUCOCORTICOID RECEPTOR IN HUMAN BRAIN ASSOCIATES WITH CHILDHOOD ABUSE (2009) 594 594
Knowledge Base 2: KB 2 (n = 762, density =4.27)
2 LEVOYE A. BALABANIAN K. BALEUX F. BACHELERIE F. LAGANE B. CXCR7 HETERODIMERIZES WITH CXCR4 AND REGULATES CXCL12-MEDIATED G PROTEIN SIGNALING (2009) 2364 2364
2 DISSOCIATION OF CXCR4 ACTIVATION FROM BINDING AND INHIBITION OF HIV-1 (1997) 1799 1799
2 LUKER K.E. STEELE J.M. MIHALKO L.A. RAY P. LUKER G.D. CONSTITUTIVE AND CHEMOKINE-DEPENDENT INTERNALIZATION AND RECYCLING OF CXCR7 IN BREAST CANCER … 923 926
2 BURNS J.M. SUMMERS B.C. WANG Y. MELIKIAN A. BERAHOVICH R. MIAO Z. A NOVEL CHEMOKINE RECEPTOR FOR SDF-1 AND I-TAC INVOLVED IN CELL SURVIVAL CELL ADH… 918 918
2 BUSILLO J.M. BENOVIC J.L. REGULATION OF CXCR4 SIGNALING (2007) 817 817
2 BALKWILL F. CANCER AND THE CHEMOKINE NETWORK (2004) 794 804
2 ZLOTNIK A. YOSHIE O. THE CHEMOKINE SUPERFAMILY REVISITED (2012) 784 784
2 TEICHER B.A. FRICKER S.P. CXCL12 (SDF-1) 779 782
2 KALATSKAYA I. BERCHICHE Y.A. GRAVEL S. LIMBERG B.J. ROSENBAUM J.S. HEVEKER N. AMD3100 IS A CXCR7 LIGAND WITH ALLOSTERIC AGONIST PROPERTIES (2009) 749 749
2 GRIFFITH J.W. SOKOL C.L. LUSTER A.D. CHEMOKINES AND CHEMOKINE RECEPTORS: POSITIONING CELLS FOR HOST DEFENSE AND IMMUNITY (2014) 711 711
Knowledge Base 3: KB 3 (n = 1714, density =2.53)
3 GUPTA R.S. SPRINGSTON E.E. WARRIER M.R. SMITH B. KUMAR R. PONGRACIC J. THE PREVALENCE SEVERITY AND DISTRIBUTION OF CHILDHOOD FOOD ALLERGY IN THE UN… 1020 1047
3 BOCK S.A. MUNOZ-FURLONG A. SAMPSON H.A. FATALITIES DUE TO ANAPHYLACTIC REACTIONS TO FOODS (2001) 988 1001
3 SAMPSON H.A. UTILITY OF FOOD-SPECIFIC IGE CONCENTRATIONS IN PREDICTING SYMPTOMATIC FOOD ALLERGY (2001) 975 1050
3 SICHERER S.H. SAMPSON H.A. FOOD ALLERGY: EPIDEMIOLOGY PATHOGENESIS DIAGNOSIS AND TREATMENT (2014) 908 1095
3 DU TOIT G. ROBERTS G. SAYRE P.H. BAHNSON H.T. RADULOVIC S. SANTOS A.F. RANDOMIZED TRIAL OF PEANUT CONSUMPTION IN INFANTS AT RISK FOR PEANUT ALLERGY… 895 945
3 MURARO A. WERFEL T. HOFFMANN-SOMMERGRUBER K. EAACI FOOD ALLERGY AND ANAPHYLAXIS GUIDELINES: DIAGNOSIS AND MANAGEMENT OF FOOD ALLERGY (2014) 869 935
3 SICHERER S.H. SAMPSON H.A. FOOD ALLERGY (2010) 836 1275
3 BOCK S.A. MUÑOZ-FURLONG A. SAMPSON H.A. FATALITIES DUE TO ANAPHYLACTIC REACTIONS TO FOODS (2001) 794 811
3 SAMPSON H.A. MENDELSON L. ROSEN J.P. FATAL AND NEAR-FATAL ANAPHYLACTIC REACTIONS TO FOOD IN CHILDREN AND ADOLESCENTS (1992) 602 610
3 MURARO A. WERFEL T. HOFFMANN-SOMMERGRUBER K. ROBERTS G. BEYER K. BINDSLEV-JENSEN C. EAACI FOOD ALLERGY AND ANAPHYLAXIS GUIDELINES: DIAGNOSIS AND MA… 523 537
Knowledge Base 4: KB 4 (n = 1591, density =2.74)
4 MACIVER N.J. MICHALEK R.D. RATHMELL J.C. METABOLIC REGULATION OF T LYMPHOCYTES (2013) 2484 2704
4 MICHALEK R.D. GERRIETS V.A. JACOBS S.R. MACINTYRE A.N. MACIVER N.J. MASON E.F. SULLIVAN S.A. RATHMELL J.C. CUTTING EDGE: DISTINCT GLYCOLYTIC AND LI… 2158 2492
4 ZENG H. YANG K. CLOER C. NEALE G. VOGEL P. CHI H. MTORC1 COUPLES IMMUNE SIGNALS AND METABOLIC PROGRAMMING TO ESTABLISH T(REG) 2017 2976
4 SHI L.Z. WANG R. HUANG G. VOGEL P. NEALE G. GREEN D.R. HIF1ALPHA-DEPENDENT GLYCOLYTIC PATHWAY ORCHESTRATES A METABOLIC CHECKPOINT FOR THE DIFFERENT… 1568 2001
4 PEARCE E.L. POFFENBERGER M.C. CHANG C.H. JONES R.G. FUELING IMMUNITY: INSIGHTS INTO METABOLISM AND LYMPHOCYTE FUNCTION (2013) 1563 1811
4 SHI L.Z. WANG R. HUANG G. VOGEL P. NEALE G. GREEN D.R. CHI H. HIF1ALPHA-DEPENDENT GLYCOLYTIC PATHWAY ORCHESTRATES A METABOLIC CHECKPOINT FOR THE DI… 1522 1738
4 SINCLAIR L.V. ROLF J. EMSLIE E. SHI Y.B. TAYLOR P.M. CANTRELL D.A. CONTROL OF AMINO-ACID TRANSPORT BY ANTIGEN RECEPTORS COORDINATES THE METABOLIC R… 1519 1678
4 PENG M. YIN N. CHHANGAWALA S. XU K. LESLIE C.S. LI M.O. AEROBIC GLYCOLYSIS PROMOTES T HELPER 1 CELL DIFFERENTIATION THROUGH AN EPIGENETIC MECHANISM… 1503 1651
4 MICHALEK R.D. GERRIETS V.A. JACOBS S.R. MACINTYRE A.N. MACIVER N.J. MASON E.F. CUTTING EDGE: DISTINCT GLYCOLYTIC AND LIPID OXIDATIVE METABOLIC PROG… 1425 1729
4 WANG R. DILLON C.P. SHI L.Z. MILASTA S. CARTER R. FINKELSTEIN D. THE TRANSCRIPTION FACTOR MYC CONTROLS METABOLIC REPROGRAMMING UPON T LYMPHOCYTE AC… 1377 1500
Knowledge Base 5: KB 5 (n = 1332, density =6.19)
5 HORI S. NOMURA T. SAKAGUCHI S. CONTROL OF REGULATORY T CELL DEVELOPMENT BY THE TRANSCRIPTION FACTOR FOXP3 (2003) 6131 6639
5 FONTENOT J.D. GAVIN M.A. RUDENSKY A.Y. FOXP3 PROGRAMS THE DEVELOPMENT AND FUNCTION OF CD4+CD25+ REGULATORY T CELLS (2003) 4874 5289
5 ZHENG Y. JOSEFOWICZ S. CHAUDHRY A. PENG X.P. FORBUSH K. RUDENSKY A.Y. ROLE OF CONSERVED NON-CODING DNA ELEMENTS IN THE FOXP3 GENE IN REGULATORY T-C… 1820 2064
5 SAKAGUCHI S. SAKAGUCHI N. ASANO M. ITOH M. TODA M. IMMUNOLOGIC SELF-TOLERANCE MAINTAINED BY ACTIVATED T CELLS EXPRESSING IL-2 RECEPTOR ALPHA-CHAINS… 1629 1890
5 KHATTRI R. COX T. YASAYKO S.A. RAMSDELL F. AN ESSENTIAL ROLE FOR SCURFIN IN CD4+CD25+ T REGULATORY CELLS (2003) 1527 1577
5 JOSEFOWICZ S.Z. LU L.F. RUDENSKY A.Y. REGULATORY T CELLS: MECHANISMS OF DIFFERENTIATION AND FUNCTION (2012) 1485 1660
5 SAKAGUCHI S. YAMAGUCHI T. NOMURA T. ONO M. REGULATORY T CELLS AND IMMUNE TOLERANCE (2008) 1266 1345
5 SHRESTHA S. YANG K. GUY C. VOGEL P. NEALE G. CHI H. TREG CELLS REQUIRE THE PHOSPHATASE PTEN TO RESTRAIN TH1 AND TFH CELL RESPONSES (2015) 1226 2316
5 LI X. LIANG Y. LEBLANC M. BENNER C. ZHENG Y. FUNCTION OF A FOXP3 CIS-ELEMENT IN PROTECTING REGULATORY T CELL IDENTITY (2014) 1218 1322
5 FENG Y. ARVEY A. CHINEN T. VAN DER VEEKEN J. GASTEIGER G. RUDENSKY A.Y. CONTROL OF THE INHERITANCE OF REGULATORY T CELL IDENTITY BY A CIS ELEMENT I… 968 1079
Knowledge Base 6: KB 6 (n = 1320, density =5.2)
6 LOCASALE J.W. SERINE GLYCINE AND ONE-CARBON UNITS: CANCER METABOLISM IN FULL CIRCLE (2013) 2520 2617
6 DUCKER G.S. RABINOWITZ J.D. ONE-CARBON METABOLISM IN HEALTH AND DISEASE (2017) 1726 1798
6 POSSEMATO R. MARKS K.M. SHAUL Y.D. PACOLD M.E. KIM D. BIRSOY K. SETHUMADHAVAN S. JHA A.K. FUNCTIONAL GENOMICS REVEAL THAT THE SERINE SYNTHESIS PATH… 1669 1715
6 LOCASALE J.W. GRASSIAN A.R. MELMAN T. LYSSIOTIS C.A. MATTAINI K.R. BASS A.J. HEFFRON G. SHARFI H. PHOSPHOGLYCERATE DEHYDROGENASE DIVERTS GLYCOLYTIC… 1664 1718
6 FAN J. YE J. KAMPHORST J.J. SHLOMI T. THOMPSON C.B. RABINOWITZ J.D. QUANTITATIVE FLUX ANALYSIS REVEALS FOLATE-DEPENDENT NADPH PRODUCTION (2014) 1521 1565
6 TIBBETTS A.S. APPLING D.R. COMPARTMENTALIZATION OF MAMMALIAN FOLATE-MEDIATED ONE-CARBON METABOLISM (2010) 1494 1517
6 MADDOCKS O.D. BERKERS C.R. MASON S.M. ZHENG L. BLYTH K. GOTTLIEB E. VOUSDEN K.H. SERINE STARVATION INDUCES STRESS AND P53-DEPENDENT METABOLIC REMOD… 1331 1358
6 LABUSCHAGNE C.F. VAN DEN BROEK N.J. MACKAY G.M. VOUSDEN K.H. MADDOCKS O.D. SERINE BUT NOT GLYCINE SUPPORTS ONE-CARBON METABOLISM AND PROLIFERATION … 1239 1258
6 HANAHAN D. WEINBERG R.A. HALLMARKS OF CANCER: THE NEXT GENERATION (2011) 1237 1559
6 YANG M. VOUSDEN K.H. SERINE AND ONE-CARBON METABOLISM IN CANCER (2016) 1214 1279
Knowledge Base 7: KB 7 (n = 1194, density =6.12)
7 GEORGIOU G. IPPOLITO G.C. BEAUSANG J. BUSSE C.E. WARDEMANN H. QUAKE S.R. THE PROMISE AND CHALLENGE OF HIGH-THROUGHPUT SEQUENCING OF THE ANTIBODY RE… 1645 1691
7 YE J. MA N. MADDEN T.L. OSTELL J.M. IGBLAST: AN IMMUNOGLOBULIN VARIABLE DOMAIN SEQUENCE ANALYSIS TOOL (2013) 1170 1205
7 VOLLMERS C. SIT R.V. WEINSTEIN J.A. DEKKER C.L. QUAKE S.R. GENETIC MEASUREMENT OF MEMORY B-CELL RECALL USING ANTIBODY REPERTOIRE SEQUENCING (2013) 1101 1150
7 YAARI G. KLEINSTEIN S.H. PRACTICAL GUIDELINES FOR B-CELL RECEPTOR REPERTOIRE SEQUENCING ANALYSIS (2015) 1095 1132
7 TONEGAWA S. SOMATIC GENERATION OF ANTIBODY DIVERSITY (1983) 966 985
7 GADALA-MARIA D. YAARI G. UDUMAN M. KLEINSTEIN S.H. AUTOMATED ANALYSIS OF HIGH-THROUGHPUT B-CELL SEQUENCING DATA REVEALS A HIGH FREQUENCY OF NOVEL I… 735 751
7 GREIFF V. MIHO E. MENZEL U. REDDY S.T. BIOINFORMATIC AND STATISTICAL ANALYSIS OF ADAPTIVE IMMUNE REPERTOIRES (2015) 652 657
7 BOLOTIN D.A. POSLAVSKY S. MITROPHANOV I. SHUGAY M. MAMEDOV I.Z. PUTINTSEVA E.V. MIXCR: SOFTWARE FOR COMPREHENSIVE ADAPTIVE IMMUNITY PROFILING (2015) 646 655
7 SHUGAY M. BRITANOVA O.V. MERZLYAK E.M. TURCHANINOVA M.A. MAMEDOV I.Z. TUGANBAEV T.R. TOWARDS ERROR-FREE PROFILING OF IMMUNE REPERTOIRES (2014) 626 644
7 FREEMAN J.D. WARREN R.L. WEBB J.R. NELSON B.H. HOLT R.A. PROFILING THE T-CELL RECEPTOR BETA-CHAIN REPERTOIRE BY MASSIVELY PARALLEL SEQUENCING (2009) 615 618
Knowledge Base 8: KB 8 (n = 993, density =4.21)
8 SHARP M.F. LOPATA A.L. FISH ALLERGY: IN REVIEW (2014) 611 699
8 VAN DO T. ELSAYED S. FLORVAAG E. HORDVIK I. ENDRESEN C. ALLERGY TO FISH PARVALBUMINS: STUDIES ON THE CROSS-REACTIVITY OF ALLERGENS FROM 9 COMMONLY … 513 536
8 RADAUER C. BUBLIN M. WAGNER S. MARI A. BREITENEDER H. ALLERGENS ARE DISTRIBUTED INTO FEW PROTEIN FAMILIES AND POSSESS A RESTRICTED NUMBER OF BIOCHE… 501 580
8 KUEHN A. SWOBODA I. ARUMUGAM K. HILGER C. HENTGES F. FISH ALLERGENS AT A GLANCE: VARIABLE ALLERGENICITY OF PARVALBUMINS THE MAJOR FISH ALLERGENS (2… 423 444
8 AYUSO R. LEHRER S.B. REESE G. IDENTIFICATION OF CONTINUOUS ALLERGENIC REGIONS OF THE MAJOR SHRIMP ALLERGEN PEN A 1 (TROPOMYOSIN) 410 434
8 LIU R. HOLCK A.L. YANG E. LIU C. XUE W. TROPOMYOSIN FROM TILAPIA (OREOCHROMIS MOSSAMBICUS) 381 394
8 AYUSO R. REESE G. LEONG-KEE S. PLANTE M. LEHRER S.B. MOLECULAR BASIS OF ARTHROPOD CROSS-REACTIVITY: IGE-BINDING CROSS-REACTIVE EPITOPES OF SHRIMP H… 365 381
8 YU C.J. LIN Y.F. CHIANG B.L. CHOW L.P. PROTEOMICS AND IMMUNOLOGICAL ANALYSIS OF A NOVEL SHRIMP ALLERGEN PEN M 2 (2003) 361 370
8 KUEHN A. SCHEUERMANN T. HILGER C. HENTGES F. IMPORTANT VARIATIONS IN PARVALBUMIN CONTENT IN COMMON FISH SPECIES: A FACTOR POSSIBLY CONTRIBUTING TO … 361 375
8 REESE G. AYUSO R. LEHRER S.B. TROPOMYOSIN: AN INVERTEBRATE PAN-ALLERGEN (1999) 342 385
Knowledge Base 9: KB 9 (n = 792, density =4.04)
9 MATRICARDI P.M. KLEINE-TEBBE J. HOFFMANN H.J. EAACI MOLECULAR ALLERGOLOGY USER’S GUIDE (2016) 645 907
9 MATRICARDI P.M. KLEINE-TEBBE J. HOFFMANN H.J. VALENTA R. HILGER C. HOFMAIER S. EAACI MOLECULAR ALLERGOLOGY USER’S GUIDE (2016) 411 630
9 ROBERTS G. PFAAR O. AKDIS C.A. EAACI GUIDELINES ON ALLERGEN IMMUNOTHERAPY: ALLERGIC RHINOCONJUNCTIVITIS (2018) 389 389
9 VALENTA R. CAMPANA R. FOCKE-TEJKL M. NIEDERBERGER V. VACCINE DEVELOPMENT FOR ALLERGEN-SPECIFIC IMMUNOTHERAPY BASED ON RECOMBINANT ALLERGENS AND SYN… 345 354
9 LUPINEK C. WOLLMANN E. BAAR A. BANERJEE S. BREITENEDER H. BROECKER B.M. ADVANCES IN ALLERGEN-MICROARRAY TECHNOLOGY FOR DIAGNOSIS AND MONITORING OF … 339 342
9 JUTEL M. JAEGER L. SUCK R. MEYER H. FIEBIG H. CROMWELL O. ALLERGEN-SPECIFIC IMMUNOTHERAPY WITH RECOMBINANT GRASS POLLEN ALLERGENS (2005) 313 313
9 SHAMJI M.H. KAPPEN J.H. AKDIS M. BIOMARKERS FOR MONITORING CLINICAL EFFICACY OF ALLERGEN IMMUNOTHERAPY FOR ALLERGIC RHINOCONJUNCTIVITIS AND ALLERGI… 310 310
9 NOON L. PROPHYLACTIC INOCULATION AGAINST HAY FEVER (1911) 299 321
9 PAJNO G.B. FERNANDEZ-RIVAS M. ARASI S. EAACI GUIDELINES ON ALLERGEN IMMUNOTHERAPY: IGE-MEDIATED FOOD ALLERGY (2018) 298 383
9 LUPINEK C. WOLLMANN E. BAAR A. ADVANCES IN ALLERGEN-MICROARRAY TECHNOLOGY FOR DIAGNOSIS AND MONITORING OF ALLERGY: THE MEDALL ALLERGEN-CHIP (2014) 291 316
Knowledge Base 10: KB 10 (n = 791, density =5.36)
10 TAMURA K. STECHER G. PETERSON D. FILIPSKI A. KUMAR S. MEGA6: MOLECULAR EVOLUTIONARY GENETICS ANALYSIS VERSION 6.0 (2013) 942 945
10 MURRELL B. WERTHEIM J.O. MOOLA S. WEIGHILL T. SCHEFFLER K. KOSAKOVSKY POND S.L. DETECTING INDIVIDUAL SITES SUBJECT TO EPISODIC DIVERSIFYING SELECTI… 905 909
10 YANG Z. PAML 4: PHYLOGENETIC ANALYSIS BY MAXIMUM LIKELIHOOD (2007) 644 651
10 POND S.L.K. FROST S.D.W. MUSE S.V. HYPHY: HYPOTHESIS TESTING USING PHYLOGENIES (2005) 533 533
10 EDGAR R.C. MUSCLE: MULTIPLE SEQUENCE ALIGNMENT WITH HIGH ACCURACY AND HIGH THROUGHPUT (2004) 457 519
10 POND S.L. FROST S.D. MUSE S.V. HYPHY: HYPOTHESIS TESTING USING PHYLOGENIES (2005) 453 453
10 KINDE I. WU J. PAPADOPOULOS N. KINZLER K.W. VOGELSTEIN B. DETECTION AND QUANTIFICATION OF RARE MUTATIONS WITH MASSIVELY PARALLEL SEQUENCING (2011) 427 549
10 MARTIN D.P. MURRELL B. GOLDEN M. KHOOSAL A. MUHIRE B. RDP4: DETECTION AND ANALYSIS OF RECOMBINATION PATTERNS IN VIRUS GENOMES (2015) 356 356
10 DRUMMOND A.J. SUCHARD M.A. XIE D. RAMBAUT A. BAYESIAN PHYLOGENETICS WITH BEAUTI AND THE BEAST 1.7 (2012) 346 346
10 MURRELL B. MOOLA S. MABONA A. WEIGHILL T. SHEWARD D. KOSAKOVSKY POND S.L. SCHEFFLER K. FUBAR: A FAST UNCONSTRAINED BAYESIAN APPROXIMATION FOR INFER… 342 342

Development of Knowledge Bases

Technical description

In a co-cittion network, the strength of the relationship between a reference pair \(m\) and \(n\) (\(s_{m,n}^{coc}\)) is expressed by the number of publications \(C\) which are jointly citing reference \(m\) and \(n\).

\[s_{m,n}^{coc} = \sum_i c_{i,m} c_{i,n}\]

The intuition here is that references which are frequently cited together are likely to share commonalities in theory, topic, methodology, or context. It can be interpreted as a measure of similarity as evaluated by other researchers that decide to jointly cite both references. Because the publication process is time-consuming, co-citation is a backward-looking measure, which is appropriate to map the relationship between core literature of a field.

Research Areas: Bibliographic coupling analysis

Research Areas main summary

This is arguably the more interesting part. Here, we identify the literature’s current knowledge frontier by carrying out a bibliographic coupling analysis of the publications in our corpus. This measure uses bibliographical information of publications to establish a similarity relationship between them. Again, method details to be found in the tab Technical description. As you will see, we identify the main research area, but also a set of adjacent research areas with some theoretical/methodological/application overlap.

To identify communities in the field’s knowledge frontier (labeled research areas) we again use the Lovain Algorithm (Blondel et al., 2008). We identify the following communities = research areas.

com_name AU PY TI dgr_int TC TC_year
Research Area 1: RA 1 (n = 1157, density =0.1)
RA 1 SICHERER SH;SAMPSON HA 2018 FOOD ALLERGY: A REVIEW AND UPDATE ON EPIDEMIOLOGY, PATHOGENESIS, DIAGNOSIS, PREVENTION, AND MANAGEMENT 5.2564681 659 164.750000
RA 1 VICKERY BP;VEREDA A;CA… 2018 AR101 ORAL IMMUNOTHERAPY FOR PEANUT ALLERGY 4.4567773 291 72.750000
RA 1 TOGIAS A;COOPER SF;ACE… 2017 ADDENDUM GUIDELINES FOR THE PREVENTION OF PEANUT ALLERGY IN THE UNITED STATES: REPORT OF THE NATIONAL INSTITUTE OF ALLERGY… 4.8728565 246 49.200000
RA 1 PAJNO GB;FERNANDEZ-RIV… 2018 EAACI GUIDELINES ON ALLERGEN IMMUNOTHERAPY: IGE-MEDIATED FOOD ALLERGY 2.9451825 249 62.250000
RA 1 MATRICARDI PM;KLEINE-T… 2016 EAACI MOLECULAR ALLERGOLOGY USER’S GUIDE 1.3783614 507 84.500000
RA 1 BIRD JA;SPERGEL JM;JON… 2018 EFFICACY AND SAFETY OF AR101 IN ORAL IMMUNOTHERAPY FOR PEANUT ALLERGY: RESULTS OF ARC001, A RANDOMIZED, DOUBLE-BLIND, PLAC… 5.9259842 105 26.250000
RA 1 GUPTA RS;WARREN CM;SMI… 2018 THE PUBLIC HEALTH IMPACT OF PARENT-REPORTED CHILDHOOD FOOD ALLERGIES IN THE UNITED STATES 2.4976192 249 62.250000
RA 1 WOOD RA 2016 FOOD ALLERGEN IMMUNOTHERAPY: CURRENT STATUS AND PROSPECTS FOR THE FUTURE 4.3063042 139 23.166667
RA 1 EBISAWA M;ITO K;FUJISA… 2017 JAPANESE GUIDELINES FOR FOOD ALLERGY 2017 3.6866366 162 32.400000
RA 1 NURMATOV U;DHAMI S;ARA… 2017 ALLERGEN IMMUNOTHERAPY FOR IGE-MEDIATED FOOD ALLERGY: A SYSTEMATIC REVIEW AND META-ANALYSIS 1.9861608 241 48.200000
Research Area 2: RA 2 (n = 755, density =0.12)
RA 2 TURECKI G;MEANEY MJ 2016 EFFECTS OF THE SOCIAL ENVIRONMENT AND STRESS ON GLUCOCORTICOID RECEPTOR GENE METHYLATION: A SYSTEMATIC REVIEW 3.9525104 373 62.166667
RA 2 YEHUDA R;DASKALAKIS NP… 2016 HOLOCAUST EXPOSURE INDUCED INTERGENERATIONAL EFFECTS ON FKBP5 METHYLATION 2.5677228 339 56.500000
RA 2 BAUMEISTER D;AKHTAR R;… 2016 CHILDHOOD TRAUMA AND ADULTHOOD INFLAMMATION: A META-ANALYSIS OF PERIPHERAL C-REACTIVE PROTEIN, INTERLEUKIN-6 AND TUMOUR NE… 1.6203639 489 81.500000
RA 2 NEMEROFF CB 2016 PARADISE LOST: THE NEUROBIOLOGICAL AND CLINICAL CONSEQUENCES OF CHILD ABUSE AND NEGLECT 1.9168008 341 56.833333
RA 2 NESTLER EJ;PEÑA CJ;KUN… 2016 EPIGENETIC BASIS OF MENTAL ILLNESS 2.3670240 180 30.000000
RA 2 BERENS AE;JENSEN SKG;N… 2017 BIOLOGICAL EMBEDDING OF CHILDHOOD ADVERSITY: FROM PHYSIOLOGICAL MECHANISMS TO CLINICAL IMPLICATIONS 1.7006921 207 41.400000
RA 2 TYRKA AR;PARADE SH;WEL… 2016 METHYLATION OF THE LEUKOCYTE GLUCOCORTICOID RECEPTOR GENE PROMOTER IN ADULTS: ASSOCIATIONS WITH EARLY ADVERSITY AND DEPRES… 4.0166999 79 13.166667
RA 2 BOWERS ME;YEHUDA R 2016 INTERGENERATIONAL TRANSMISSION OF STRESS IN HUMANS 1.2525343 220 36.666667
RA 2 HOUTEPEN LC;VINKERS CH… 2016 GENOME-WIDE DNA METHYLATION LEVELS AND ALTERED CORTISOL STRESS REACTIVITY FOLLOWING CHILDHOOD TRAUMA IN HUMANS 1.8978821 130 21.666667
RA 2 BUSTAMANTE AC;AIELLO A… 2016 GLUCOCORTICOID RECEPTOR DNA METHYLATION, CHILDHOOD MALTREATMENT AND MAJOR DEPRESSION 3.9248830 61 10.166667
Research Area 3: RA 3 (n = 733, density =0.12)
RA 3 ZHENG Y;QIN L;ZACARÍAS… 2016 STRUCTURE OF CC CHEMOKINE RECEPTOR 2 WITH ORTHOSTERIC AND ALLOSTERIC ANTAGONISTS 2.4616090 165 27.500000
RA 3 OSWALD C;RAPPAS M;KEAN… 2016 INTRACELLULAR ALLOSTERIC ANTAGONISM OF THE CCR9 RECEPTOR 2.1300938 142 23.666667
RA 3 THAL DM;GLUKHOVA A;SEX… 2018 STRUCTURAL INSIGHTS INTO G-PROTEIN-COUPLED RECEPTOR ALLOSTERY 1.8167272 149 37.250000
RA 3 SMITH JS;LEFKOWITZ RJ;… 2018 BIASED SIGNALLING: FROM SIMPLE SWITCHES TO ALLOSTERIC MICROPROCESSORS 0.7777958 316 79.000000
RA 3 SCHNEIDMAN-DUHOVNY D;H… 2016 FOXS, FOXSDOCK AND MULTIFOXS: SINGLE-STATE AND MULTI-STATE STRUCTURAL MODELING OF PROTEINS AND THEIR COMPLEXES BASED ON SA… 0.8905795 236 39.333333
RA 3 JANSON G;ZHANG C;PRADO… 2017 PYMOD 2.0: IMPROVEMENTS IN PROTEIN SEQUENCE-STRUCTURE ANALYSIS AND HOMOLOGY MODELING WITHIN PYMOL 1.8791769 110 22.000000
RA 3 ZHOU Q;YANG D;WU M;GUO… 2019 COMMON ACTIVATION MECHANISM OF CLASS A GPCRS 1.6195700 112 37.333333
RA 3 LIU X;AHN S;KAHSAI AW;… 2017 MECHANISM OF INTRACELLULAR ALLOSTERIC Β 2 AR ANTAGONIST REVEALED BY X-RAY CRYSTAL STRUCTURE 1.8052338 94 18.800000
RA 3 YEN H-Y;HOI KK;LIKO I;… 2018 PTDINS(4,5)P2 STABILIZES ACTIVE STATES OF GPCRS AND ENHANCES SELECTIVITY OF G-PROTEIN COUPLING 1.3120302 129 32.250000
RA 3 ROBERTSON N;RAPPAS M;D… 2018 STRUCTURE OF THE COMPLEMENT C5A RECEPTOR BOUND TO THE EXTRA-HELICAL ANTAGONIST NDT9513727 2.3574027 64 16.000000
Research Area 4: RA 4 (n = 679, density =0.15)
RA 4 HUGHES CE;NIBBS RJB 2018 A GUIDE TO CHEMOKINES AND THEIR RECEPTORS 2.0337545 313 78.250000
RA 4 POZZOBON T;GOLDONI G;V… 2016 CXCR4 SIGNALING IN HEALTH AND DISEASE 4.8377285 122 20.333333
RA 4 JANSSENS R;STRUYF S;PR… 2018 THE UNIQUE STRUCTURAL AND FUNCTIONAL FEATURES OF CXCL12 3.8332507 120 30.000000
RA 4 GUO F;WANG Y;LIU J;MOK… 2016 CXCL12/CXCR4: A SYMBIOTIC BRIDGE LINKING CANCER CELLS AND THEIR STROMAL NEIGHBORS IN ONCOGENIC COMMUNICATION NETWORKS 1.3542341 232 38.666667
RA 4 POETA VM;MASSARA M;CAP… 2019 CHEMOKINES AND CHEMOKINE RECEPTORS: NEW TARGETS FOR CANCER IMMUNOTHERAPY 1.5386586 204 68.000000
RA 4 STONE MJ;HAYWARD JA;HU… 2017 MECHANISMS OF REGULATION OF THE CHEMOKINE-RECEPTOR NETWORK 2.1918255 134 26.800000
RA 4 LIM SY;YUZHALIN AE;GOR… 2016 TARGETING THE CCL2-CCR2 SIGNALING AXIS IN CANCER METASTASIS 0.8981507 260 43.333333
RA 4 TOKUNAGA R;ZHANG W;NAS… 2018 CXCL9, CXCL10, CXCL11/CXCR3 AXIS FOR IMMUNE ACTIVATION – A TARGET FOR NOVEL CANCER THERAPY 0.5002974 420 105.000000
RA 4 BONECCHI R;GRAHAM GJ 2016 ATYPICAL CHEMOKINE RECEPTORS AND THEIR ROLES IN THE RESOLUTION OF THE INFLAMMATORY RESPONSE 2.4249263 86 14.333333
RA 4 HAUSER MA;LEGLER DF 2016 COMMON AND BIASED SIGNALING PATHWAYS OF THE CHEMOKINE RECEPTOR CCR7 ELICITED BY ITS LIGANDS CCL19 AND CCL21 IN LEUKOCYTES 2.0279591 102 17.000000
Research Area 5: RA 5 (n = 675, density =0.13)
RA 5 YU G;SMITH DK;ZHU H;GU… 2017 GGTREE: AN R PACKAGE FOR VISUALIZATION AND ANNOTATION OF PHYLOGENETIC TREES WITH THEIR COVARIATES AND OTHER ASSOCIATED DATA 1.1730432 1324 264.800000
RA 5 GOODWIN S;MCPHERSON JD… 2016 COMING OF AGE: TEN YEARS OF NEXT-GENERATION SEQUENCING TECHNOLOGIES 0.4475554 1917 319.500000
RA 5 JENNINGS LJ;ARCILA ME;… 2017 GUIDELINES FOR VALIDATION OF NEXT-GENERATION SEQUENCING–BASED ONCOLOGY PANELS: A JOINT CONSENSUS RECOMMENDATION OF THE ASS… 1.0234586 319 63.800000
RA 5 HEATHER JM;CHAIN B 2016 THE SEQUENCE OF SEQUENCERS: THE HISTORY OF SEQUENCING DNA 0.6409195 483 80.500000
RA 5 BENVENUTO D;GIOVANETTI… 2020 THE 2019-NEW CORONAVIRUS EPIDEMIC: EVIDENCE FOR VIRUS EVOLUTION 0.8027736 370 185.000000
RA 5 SALK JJ;SCHMITT MW;LOE… 2018 ENHANCING THE ACCURACY OF NEXT-GENERATION SEQUENCING FOR DETECTING RARE AND SUBCLONAL MUTATIONS 1.2741082 219 54.750000
RA 5 FRANZO G;CORTEY M;SEGA… 2016 PHYLODYNAMIC ANALYSIS OF PORCINE CIRCOVIRUS TYPE 2 REVEALS GLOBAL WAVES OF EMERGING GENOTYPES AND THE CIRCULATION OF RECOM… 2.2827339 100 16.666667
RA 5 GAO F;CHEN C;ARAB DA;D… 2019 EASYCODEML: A VISUAL TOOL FOR ANALYSIS OF SELECTION USING CODEML 1.8229607 123 41.000000
RA 5 WEAVER S;SHANK SD;SPIE… 2018 DATAMONKEY 2.0: A MODERN WEB APPLICATION FOR CHARACTERIZING SELECTIVE AND OTHER EVOLUTIONARY PROCESSES 0.7792677 285 71.250000
RA 5 WANG L-G;LAM TT-Y;XU S… 2020 TREEIO: AN R PACKAGE FOR PHYLOGENETIC TREE INPUT AND OUTPUT WITH RICHLY ANNOTATED AND ASSOCIATED DATA 1.7989751 96 48.000000
Research Area 6: RA 6 (n = 563, density =0.32)
RA 6 O’NEILL LAJ;KISHTON RJ… 2016 A GUIDE TO IMMUNOMETABOLISM FOR IMMUNOLOGISTS 2.3685576 1210 201.666667
RA 6 BUCK MD;SOWELL RT;KAEC… 2017 METABOLIC INSTRUCTION OF IMMUNITY 3.5362007 535 107.000000
RA 6 SUKUMAR M;LIU J;MEHTA … 2016 MITOCHONDRIAL MEMBRANE POTENTIAL IDENTIFIES CELLS WITH ENHANCED STEMNESS FOR CELLULAR THERAPY 6.4997434 196 32.666667
RA 6 KISHTON RJ;SUKUMAR M;R… 2017 METABOLIC REGULATION OF T CELL LONGEVITY AND FUNCTION IN TUMOR IMMUNOTHERAPY 5.1567787 187 37.400000
RA 6 JOHNSON MO;WOLF MM;MAD… 2018 DISTINCT REGULATION OF TH17 AND TH1 CELL DIFFERENTIATION BY GLUTAMINASE-DEPENDENT METABOLISM 3.8386329 231 57.750000
RA 6 LOFTUS RM;FINLAY DK 2016 IMMUNOMETABOLISM: CELLULAR METABOLISM TURNS IMMUNE REGULATOR 3.1754132 229 38.166667
RA 6 ALMEIDA L;LOCHNER M;BE… 2016 METABOLIC PATHWAYS IN T CELL ACTIVATION AND LINEAGE DIFFERENTIATION 2.9477605 211 35.166667
RA 6 MENK AV;SCHARPING NE;M… 2018 EARLY TCR SIGNALING INDUCES RAPID AEROBIC GLYCOLYSIS ENABLING DISTINCT ACUTE T CELL EFFECTOR FUNCTIONS 3.4489636 174 43.500000
RA 6 NEWTON R;PRIYADHARSHIN… 2016 IMMUNOMETABOLISM OF REGULATORY T CELLS 3.1279523 190 31.666667
RA 6 BANTUG GR;GALLUZZI L;K… 2018 THE SPECTRUM OF T CELL METABOLISM IN HEALTH AND DISEASE 2.9702342 200 50.000000
Research Area 7: RA 7 (n = 490, density =0.26)
RA 7 SMITH T;HEGER A;SUDBERY I 2017 UMI-TOOLS: MODELING SEQUENCING ERRORS IN UNIQUE MOLECULAR IDENTIFIERS TO IMPROVE QUANTIFICATION ACCURACY 0.7626330 459 91.800000
RA 7 TURCHANINOVA MA;DAVYDO… 2016 HIGH-QUALITY FULL-LENGTH IMMUNOGLOBULIN PROFILING WITH UNIQUE MOLECULAR BARCODING 3.2818235 100 16.666667
RA 7 BREDEN F;LUNING PRAK E… 2017 REPRODUCIBILITY AND REUSE OF ADAPTIVE IMMUNE RECEPTOR REPERTOIRE DATA 5.8138256 54 10.800000
RA 7 MIHO E;YERMANOS A;WEBE… 2018 COMPUTATIONAL STRATEGIES FOR DISSECTING THE HIGH-DIMENSIONAL COMPLEXITY OF ADAPTIVE IMMUNE REPERTOIRES 3.8524717 81 20.250000
RA 7 ROSATI E;DOWDS CM;LIAS… 2017 OVERVIEW OF METHODOLOGIES FOR T-CELL RECEPTOR REPERTOIRE ANALYSIS 2.5769911 119 23.800000
RA 7 RALPH DK;MATSEN FA;IV 2016 CONSISTENCY OF VDJ REARRANGEMENT AND SUBSTITUTION PARAMETERS ENABLES ACCURATE B CELL RECEPTOR SEQUENCE ANNOTATION 4.0583461 66 11.000000
RA 7 GREIFF V;MENZEL U;MIHO… 2017 SYSTEMS ANALYSIS REVEALS HIGH GENETIC AND ANTIGEN-DRIVEN PREDETERMINATION OF ANTIBODY REPERTOIRES THROUGHOUT B CELL DEVELO… 3.8171377 69 13.800000
RA 7 GREIFF V;WEBER CR;PALM… 2017 LEARNING THE HIGH-DIMENSIONAL IMMUNOGENOMIC FEATURES THAT PREDICT PUBLIC AND PRIVATE ANTIBODY REPERTOIRES 4.4692843 55 11.000000
RA 7 DEWITT WS;LINDAU P;SNY… 2016 A PUBLIC DATABASE OF MEMORY AND NAIVE B-CELL RECEPTOR SEQUENCES 3.5220475 68 11.333333
RA 7 LIU X;WU J 2018 HISTORY, APPLICATIONS, AND CHALLENGES OF IMMUNE REPERTOIRE RESEARCH 6.1170415 36 9.000000
Research Area 8: RA 8 (n = 481, density =0.42)
RA 8 PAVLOVA NN;THOMPSON CB 2016 THE EMERGING HALLMARKS OF CANCER METABOLISM 3.1665951 2449 408.166667
RA 8 DE BERARDINIS RJ;CHAND… 2016 FUNDAMENTALS OF CANCER METABOLISM 3.2146586 1236 206.000000
RA 8 DUCKER GS;RABINOWITZ JD 2017 ONE-CARBON METABOLISM IN HEALTH AND DISEASE 5.5511568 697 139.400000
RA 8 VANDER HEIDEN MG;DEBER… 2017 UNDERSTANDING THE INTERSECTIONS BETWEEN METABOLISM AND CANCER BIOLOGY 3.8057305 936 187.200000
RA 8 YANG M;VOUSDEN KH 2016 SERINE AND ONE-CARBON METABOLISM IN CANCER 4.5655041 417 69.500000
RA 8 NEWMAN AC;MADDOCKS ODK 2017 ONE-CARBON METABOLISM IN CANCER 9.1913342 181 36.200000
RA 8 LUENGO A;GUI DY;VANDER… 2017 TARGETING METABOLISM FOR CANCER THERAPY 3.9511348 383 76.600000
RA 8 MATTAINI KR;SULLIVAN M… 2016 THE IMPORTANCE OF SERINE METABOLISM IN CANCER 7.4224477 184 30.666667
RA 8 MA EH;BANTUG G;GRISS T… 2017 SERINE IS AN ESSENTIAL METABOLITE FOR EFFECTOR T CELL EXPANSION 4.4158321 256 51.200000
RA 8 GAO X;LEE K;REID MA;SA… 2018 SERINE AVAILABILITY INFLUENCES MITOCHONDRIAL DYNAMICS AND FUNCTION THROUGH LIPID METABOLISM 10.3750504 96 24.000000
Research Area 9: RA 9 (n = 463, density =0.78)
RA 9 CHINEN T;KANNAN AK;LEV… 2016 AN ESSENTIAL ROLE FOR THE IL-2 RECEPTOR IN T REG CELL FUNCTION 7.0353349 376 62.666667
RA 9 KAMADA T;TOGASHI Y;TAY… 2019 PD-1+ REGULATORY T CELLS AMPLIFIED BY PD-1 BLOCKADE PROMOTE HYPERPROGRESSION OF CANCER 6.3011637 345 115.000000
RA 9 TOGASHI Y;SHITARA K;NI… 2019 REGULATORY T CELLS IN CANCER IMMUNOSUPPRESSION — IMPLICATIONS FOR ANTICANCER THERAPY 4.7348282 417 139.000000
RA 9 DOMINGUEZ-VILLAR M;HAF… 2018 REGULATORY T CELLS IN AUTOIMMUNE DISEASE 7.2541274 271 67.750000
RA 9 MAJ T;WANG W;CRESPO J;… 2017 OXIDATIVE STRESS CONTROLS REGULATORY T CELL APOPTOSIS AND SUPPRESSOR ACTIVITY AND PD-L1-BLOCKADE RESISTANCE IN TUMOR 5.1432664 332 66.400000
RA 9 LI MO;RUDENSKY AY 2016 T CELL RECEPTOR SIGNALLING IN THE CONTROL OF REGULATORY T CELL DIFFERENTIATION AND FUNCTION 6.2282848 262 43.666667
RA 9 WING JB;TANAKA A;SAKAG… 2019 HUMAN FOXP3 + REGULATORY T CELL HETEROGENEITY AND FUNCTION IN AUTOIMMUNITY AND CANCER 6.4747179 233 77.666667
RA 9 PLITAS G;RUDENSKY AY 2016 REGULATORY T CELLS: DIFFERENTIATION AND FUNCTION 10.8431323 139 23.166667
RA 9 TAKEUCHI Y;NISHIKAWA H 2016 ROLES OF REGULATORY T CELLS IN CANCER IMMUNITY 5.1251531 277 46.166667
RA 9 KITAGAWA Y;OHKURA N;KI… 2017 GUIDANCE OF REGULATORY T CELL DEVELOPMENT BY SATB1-DEPENDENT SUPER-ENHANCER ESTABLISHMENT 7.0904157 178 35.600000
Research Area 10: RA 10 (n = NA, density =NA)
NA STURM GJ;VARGA E-M;ROB… 2018 EAACI GUIDELINES ON ALLERGEN IMMUNOTHERAPY: HYMENOPTERA VENOM ALLERGY 2.1449361 218 54.500000
NA HILGER C;FISCHER J;SWI… 2016 TWO GALACTOSE-Α-1,3-GALACTOSE CARRYING PEPTIDASES FROM PORK KIDNEY MEDIATE ANAPHYLACTOGENIC RESPONSES IN DELAYED MEAT ALLERGY 3.5106829 46 7.666667
NA BLACH S;ZEUZEM S;MANNS… 2017 GLOBAL PREVALENCE AND GENOTYPE DISTRIBUTION OF HEPATITIS C VIRUS INFECTION IN 2015: A MODELLING STUDY 0.1176471 1270 254.000000
NA HILGER C;FISCHER J;WÖL… 2019 ROLE AND MECHANISM OF GALACTOSE-ALPHA-1,3-GALACTOSE IN THE ELICITATION OF DELAYED ANAPHYLACTIC REACTIONS TO RED MEAT 2.4633197 44 14.666667
NA FISCHER J;EBERLEIN B;H… 2017 ALPHA-GAL IS A POSSIBLE TARGET OF IGE-MEDIATED REACTIVITY TO ANTIVENOM 2.3320773 40 8.000000
NA MEHLICH J;FISCHER J;HI… 2019 THE BASOPHIL ACTIVATION TEST DIFFERENTIATES BETWEEN PATIENTS WITH ALPHA-GAL SYNDROME AND ASYMPTOMATIC ALPHA-GAL SENSITIZATION 2.1643884 43 14.333333
NA BLANK S;BILÒ MB;OLLERT M 2018 COMPONENT-RESOLVED DIAGNOSTICS TO DIRECT IN VENOM IMMUNOTHERAPY: IMPORTANT STEPS TOWARDS PRECISION MEDICINE 2.4198772 34 8.500000
NA MICHEL J;BROCKOW K;DAR… 2016 ADDED SENSITIVITY OF COMPONENT-RESOLVED DIAGNOSIS IN HYMENOPTERA VENOM-ALLERGIC PATIENTS WITH ELEVATED SERUM TRYPTASE AND/… 2.0041596 38 6.333333
NA SCHIENER M;EBERLEIN B;… 2017 APPLICATION OF RECOMBINANT ANTIGEN 5 ALLERGENS FROM SEVEN ALLERGY-RELEVANT HYMENOPTERA SPECIES IN DIAGNOSTICS 1.8604018 35 7.000000
NA FRICK M;FISCHER J;HELB… 2016 PREDOMINANT API M 10 SENSITIZATION AS RISK FACTOR FOR TREATMENT FAILURE IN HONEY BEE VENOM IMMUNOTHERAPY 0.9059141 69 11.500000

Development

Connectivity between the research areas

Technical description

In a bibliographic coupling network, the coupling-strength between publications is determined by the number of commonly cited references they share, assuming a common pool of references to indicate similarity in context, methods, or theory. Formally, the strength of the relationship between a publication pair \(i\) and \(j\) (\(s_{i,j}^{bib}\)) is expressed by the number of commonly cited references.

\[s_{i,j}^{bib} = \sum_m c_{i,m} c_{j,m}\]

Since our corpus contains publications which differ strongly in terms of the number of cited references, we normalize the coupling strength by the Jaccard similarity coefficient. Here, we weight the intercept of two publications’ bibliography (shared refeences) by their union (number of all references cited by either \(i\) or \(j\)). It is bounded between zero and one, where one indicates the two publications to have an identical bibliography, and zero that they do not share any cited reference. Thereby, we prevent publications from having high coupling strength due to a large bibliography (e.g., literature surveys).

\[S_{i,j}^{jac-bib} =\frac{C(i \cap j)}{C(i \cup j)} = \frac{s_{i,j}^{bib}}{c_i + c_j - s_{i,j}^{bib}}\]

More recent articles have a higher pool of possible references to co-cite to, hence they are more likely to be coupled. Consequently, bibliographic coupling represents a forward looking measure, and the method of choice to identify the current knowledge frontier at the point of analysis.

Knowledge Bases, Research Areas & Topics Interaction

Endnotes

All results are preliminary so far…